Comparison of population genetic structure of <i>Pinus mugo</i> Turra forest stands in the Giant Mountains by analysis of nSSR molecular marker data

Abstract Pinus mugo (dwarf mountain pine) communities in the protected area of Krkonoše National Park are extremely valuable. After extensive deforestation during the sixteenth to nineteenth centuries, P. mugo recovered naturally in some parts of the Giant Mountains, and in some places imported seeds were likely used for reforestation. To distinguish between native and possibly introduced local P. mugo populations, genetic variations between 12 populations from the Czech Sudeten part of the Giant Mountains and between the two populations from the Tatra Mountains were analysed using 12 nuclear microsatellite markers (nuclear simple sequence repeats). Based on the simple sequence repeat data, 146 alleles were found, and Shannon’s information index, number of private alleles, and expected heterozygosity (HE) of populations averaged 1.12, 0.16, and 0.53, respectively. Analysis of molecular variance indicated that most of the variation was detected within populations. Low levels of genetic differentiation were also observed (average FST = 0.023). The population structure was examined by Bayesian clustering. The results of STRUCTURE analysis confirmed that the introduced populations were different from the autochthonous populations. Some of the introduced Czech Sudeten populations had similar genetic structure as the more distant native populations from the Tatra Mountains. Our results provide important genetic information for the reconstruction of natural communities in the Giant Mountains.

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Publication Details

Journal
Forestry An International Journal of Forest Research
Published
2024-08-05
DOI
https://doi.org/10.1093/forestry/cpae042
Citations
1
Primary Topic
Genetic diversity and population structure
Type
article
Field-Weighted Citation Impact
0.55

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article

Comparison of population genetic structure of Pinus mugo Turra forest stands in the Giant Mountains by analysis of nSSR molecular marker data

Jiří Čáp, Olga Trčková, J. Dostál, Pavlína Máchová et al.
1 citations
Forestry An International Journal of Forest Research
Genetic diversity and population structure
0.55
article

Comparison of population genetic structure of Pinus mugo Turra forest stands in the Giant Mountains by analysis of nSSR molecular marker data

Jiří Čáp, Olga Trčková, J. Dostál, Pavlína Máchová, Martina Komárková
article en
1 citations

Abstract

Abstract Pinus mugo (dwarf mountain pine) communities in the protected area of Krkonoše National Park are extremely valuable. After extensive deforestation during the sixteenth to nineteenth centuries, P. mugo recovered naturally in some parts of the Giant Mountains, and in some places imported seeds were likely used for reforestation. To distinguish between native and possibly introduced local P. mugo populations, genetic variations between 12 populations from the Czech Sudeten part of the Giant Mountains and between the two populations from the Tatra Mountains were analysed using 12 nuclear microsatellite markers (nuclear simple sequence repeats). Based on the simple sequence repeat data, 146 alleles were found, and Shannon’s information index, number of private alleles, and expected heterozygosity (HE) of populations averaged 1.12, 0.16, and 0.53, respectively. Analysis of molecular variance indicated that most of the variation was detected within populations. Low levels of genetic differentiation were also observed (average FST = 0.023). The population structure was examined by Bayesian clustering. The results of STRUCTURE analysis confirmed that the introduced populations were different from the autochthonous populations. Some of the introduced Czech Sudeten populations had similar genetic structure as the more distant native populations from the Tatra Mountains. Our results provide important genetic information for the reconstruction of natural communities in the Giant Mountains.

Forestry An International Journal of Forest ResearchVol. 98(3)
Forestry and Game Management Research Institute (CZ)
Ministerstvo Zemědělství
Life in Land
Openalex Percentile: Top 27%
Genetic diversity and population structure
0.55
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